In this paper, we present a new median-based operator which associates in a multidirectional filtering scheme the noise suppression ability of the recursive median filter with the edge conservation property of the standard median filter. We show in a preliminary comparative study the superiority of the recursive median filter for smoothing regions corrupted by additive white noise, while the st...

Edge-aware smoothing is an essential tool for computer vision, graphics and photography. In this paper, we develop a new efficient local weighted average filter edge-aware smoothing. The proposed can use guidance information which permits iterative filtering process. Since the weights of depend on variance, implementation requires linear filters only, leading to $\mathcal {O}(N_{pix})$ computat...

We propose a novel coplanar filter, which exploits the coplanarity of gray-level distribution of neighboring pixels, to pre-filter the document images. Experiments show that the proposed filter exhibits the following desired properties for document image binarization: (1) impulsive noise removal, (2) piecewise smoothing, and (3) sharp edge preservation.

This paper optimizes a GPS smoothing filter to minimize biases caused by ionosphere divergence during anomalous storms. Ionospheric storms represent the most severe threat to high-integrity differential GPS systems, such as Ground-Based Augmentation Systems (GBAS). Substituting the optimized filter for the Hatch Filter typically used in GBAS reduces ionosphere divergence bias by over 10% for a ...

Mrstract—The notion is exploded that to build a Kalman–Bucy filter, one needs to know tbe whole structure of the signal generating process. It is shown that the filter is constructible knowing precisely those covariwrces required to construct a Wiener filter, and no more, and that the filter is independent of the particular models of the processes generating these covariances. Performance of th...

We propose a novel coplanar filter, which exploits the coplanarity of gray-level distribution of neighboring pixels, to pre-filter the document images. Experiments show that the proposed filter exhibits the following desired properties for document image binarization: (1) impulsive noise removal, (2) piecewise smoothing, and (3) sharp edge preservation.

This paper presents a new robust fault and state estimation based on recursive least square filter for linear stochastic systems with unknown disturbances. The novel elements of the algorithm are : a simple, easily implementable, square root method which is shown to solve the numerical problems affecting the unknown input filter algorithm and related information filter and smoothing algorithms;...

In this paper, we present a spatially adaptive method to reduce compression artifacts observed in block discrete cosine transform (DCT) based image/video compression standards. The method is based on the bilateral filter, which is very effective in denoising images without smoothing edges. When applied to reduce compression artifacts, the parameters of the bilateral filter should be chosen care...